Application of 1-D discrete wavelet transform based compressed sensing matrices for speech compression

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Table 7 Performance analysis of the proposed db7 wavelet based sensing matrix

Length of signal (N)	Number of measurements (m)	Compression ratio (CR = m/N)	Sparsity level = (k/N) × 100 (%)	No. of non-zeros (k)	No. of iterations required	Signal reconstruction time (s)	RMSE	Relative error	SNR (db)	Construction time for sensing matrix (s)
2048	205	0.1	50	1024	16	1.544091	0.0564	0.9417	0.5216	2.557882
2048	410	0.2	50	1024	16	2.310240	0.0514	0.8584	1.3260	2.503921
2048	512	0.25	50	1024	16	3.655857	0.0514	0.8585	1.3247	2.371664
2048	614	0.3	50	1024	15	4.050385	0.0511	0.8537	1.3739	2.391605
2048	849	0.4	50	1024	14	5.772598	0.0501	0.8379	1.5362	2.502802
2048	1024	0.5	50	1024	14	9.536010	0.0501	0.8375	1.5399	2.450485
2048	1229	0.6	50	1024	12	10.281689	0.0470	0.7848	2.1049	2.458048
2048	1434	0.7	50	1024	12	13.554986	0.0468	0.7827	2.1278	2.505254
2048	1536	0.75	50	1024	12	17.109362	0.0468	0.7816	2.1404	2.616728
2048	1638	0.8	50	1024	12	18.134841	0.0468	0.7816	2.1406	2.543920
2048	1843	0.9	50	1024	11	21.115266	0.0468	0.7816	2.1406	2.512582
2048	2048	1.0	50	1024	9	22.753802	0.0468	0.7815	2.1409	2.492282